کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
554738 1451082 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A characterization of hierarchical computable distance functions for data warehouse systems
ترجمه فارسی عنوان
توصیف توابع فاصله سلسله مراتبی قابل مقایسه برای سیستم های انبار داده
کلمات کلیدی
آزمایش کردن، اقدامات مشابهی، داده های سلسله مراتبی، داده های طبقه بندی شده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی


• A characterization of hierarchical and categorical attributes
• A characterization of hierarchical computable distances
• A probabilistic model that defines the discriminant capabilities of the distance functions.
• A set of experimental results that provide an empirical evaluation of proposed model.

A data warehouse is a huge multidimensional repository used for statistical analysis of historical data. In a data warehouse events are modeled as multidimensional cubes where cells store numerical indicators while dimensions describe the events from different points of view. Dimensions are typically described at different levels of details through hierarchies of concepts. Computing the distance/similarity between two cells has several applications in this domain. In this context distance is typically based on the least common ancestor between attribute values, but the effectiveness of such distance functions varies according to the structure and to the number of the involved hierarchies. In this paper we propose a characterization of hierarchy types based on their structure and expressiveness, we provide a characterization of the different types of distance functions and we verify their effectiveness on different types of hierarchies in terms of their intrinsic discriminant capacity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Decision Support Systems - Volume 62, June 2014, Pages 144–157
نویسندگان
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